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Title:
a hybrid search engine framework for the internet of things based on spatial-temporal, value-based, and keyword-based conditions
Author: Ding Zhiming ; Gao Xu ; Guo Limin ; Yang Qi
Source: Proceedings - 2012 IEEE Int. Conf. on Green Computing and Communications, GreenCom 2012, Conf. on Internet of Things, iThings 2012 and Conf. on Cyber, Physical and Social Computing, CPSCom 2012
Conference Name: 2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012
Conference Date: November 20, 2012 - November 23, 2012
Issued Date: 2012
Conference Place: Besancon, France
Keyword: Internet
Indexed Type: EI
ISBN: 9780769548654
Department: (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) National Center of ITS Engineering and Technology Beijing 100088 China
Abstract: In recent years, the Internet of Things (IoT) has become a hot research issue and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the search engine community. In this paper, we analyze the challenges in the IoT search engine technology and propose a "Hybrid Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions" ("IoT-SVK Search Engine" for short). The experimental results show that the IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and provides a good solution for real-time retrieval of massive sensor sampling data in the Internet of Things. © 2012 IEEE.
English Abstract: In recent years, the Internet of Things (IoT) has become a hot research issue and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the search engine community. In this paper, we analyze the challenges in the IoT search engine technology and propose a "Hybrid Search Engine Framework for the Internet of Things based on Spatial-Temporal, Value-based, and Keyword-based Conditions" ("IoT-SVK Search Engine" for short). The experimental results show that the IoT-SVK search engine has satisfactory performances in supporting multi-modal retrieval conditions, and provides a good solution for real-time retrieval of massive sensor sampling data in the Internet of Things. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15954
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Ding Zhiming,Gao Xu,Guo Limin,et al. a hybrid search engine framework for the internet of things based on spatial-temporal, value-based, and keyword-based conditions[C]. 见:2012 IEEE International Conference on Green Computing and Communications, GreenCom 2012, 2012 IEEE International Conference on Internet of Things, iThings 2012 and 5th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012. Besancon, France. November 20, 2012 - November 23, 2012.
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